AIMC Topic: Leukoplakia

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Artificial intelligence for image recognition in diagnosing oral and oropharyngeal cancer and leukoplakia.

Scientific reports Jan 29, 2025
Visual diagnosis is one of the key features of squamous cell carcinoma of the oral cavity (OSCC) and oropharynx (OPSCC), both subsets of head and neck squamous cell carcinoma (HNSCC) with a heterogeneous clinical appearance. Advancements in artificia...
Male Oropharyngeal Neoplasms Image Processing, Computer-Assisted Leukoplakia Humans Artificial Intelligence Leukoplakia, Oral Female Squamous Cell Carcinoma of Head and Neck Mouth Neoplasms
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Non-invasive screening for laryngeal cancer using the oral cavity as a proxy for differentiation of laryngeal cancer versus leukoplakia: A novel application of ESS technology and artificial intelligence supported statistical modeling.

American journal of otolaryngology Dec 24, 2024
OBJECTIVE: This preliminary study tested whether non-invasive, remote Elastic Scattering Spectroscopy (ESS) measurements obtained in the oral cavity can be used as a proxy to accurately differentiate between patients with laryngeal cancer versus lary...
Artificial Intelligence Machine Learning Humans Aged Sensitivity and Specificity Male Algorithms Female Mouth Spectrum Analysis Leukoplakia Models, Statistical Diagnosis, Differential Laryngeal Neoplasms Middle Aged Early Detection of Cancer
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New Model and Public Online Prediction Platform for Risk Stratification of Vocal Cord Leukoplakia.

The Laryngoscope Jun 3, 2024
OBJECTIVE: To extract texture features from vocal cord leukoplakia (VCL) images and establish a VCL risk stratification prediction model using machine learning (ML) techniques.
Leukoplakia Middle Aged Risk Assessment Vocal Cords Laryngoscopy Humans ROC Curve Retrospective Studies Sensitivity and Specificity Female Male Aged Machine Learning Adult
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Multi-instance learning based artificial intelligence model to assist vocal fold leukoplakia diagnosis: A multicentre diagnostic study.

American journal of otolaryngology Apr 30, 2024
OBJECTIVE: To develop a multi-instance learning (MIL) based artificial intelligence (AI)-assisted diagnosis models by using laryngoscopic images to differentiate benign and malignant vocal fold leukoplakia (VFL).
Aged Adult Humans Leukoplakia Middle Aged Algorithms Male Diagnosis, Computer-Assisted Female Laryngoscopy Artificial Intelligence Laryngeal Neoplasms Diagnosis, Differential Machine Learning Vocal Cords
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Vocal cord leukoplakia classification using deep learning models in white light and narrow band imaging endoscopy images.

Head & neck Oct 14, 2023
BACKGROUND: Accurate vocal cord leukoplakia classification is critical for the individualized treatment and early detection of laryngeal cancer. Numerous deep learning techniques have been proposed, but it is unclear how to select one to apply in the...
Endoscopy, Gastrointestinal Hyperplasia Endoscopy Deep Learning Narrow Band Imaging Humans Vocal Cords Leukoplakia Laryngeal Neoplasms
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[Application of deep learning assisted electronic laryngoscope in diagnosis of laryngeal leukoplakia].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery May 1, 2021
In recent years, medical imaging technology and computer technology have made great progress. On the one hand, with the development and popularization of electronic laryngoscope, the image of electronic laryngoscope plays a very important role in the...
Laryngoscopes Laryngeal Diseases Leukoplakia Image Processing, Computer-Assisted Humans Electronics Deep Learning
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